About The Company
EazyML, recognized by Gartner, is a leading innovator in Responsible AI solutions, dedicated to promoting ethical and sustainable automation across various industries. Our mission is to empower organizations with cutting-edge AI tools that facilitate proactive compliance, enhance operational efficiency, and foster responsible AI practices. We are committed to delivering scalable, reliable, and intelligent data solutions that drive business growth and innovation. Partnering with breakthrough startups such as Amelia.ai, EazyML continues to push the boundaries of AI technology, making a significant impact in the AI community and beyond.

About The Role
We are seeking an experienced Data Engineer to join our dynamic team in a full time remote capacity. This role offers an exciting opportunity for a professional who thrives on solving complex data challenges and taking ownership from the initial design phase through to deployment and maintenance. Based anywhere in India, the ideal candidate will have a strong background in building scalable data pipelines,



leveraging AI to enhance engineering productivity, and collaborating effectively with both technical and business stakeholders. Your expertise will directly contribute to our mission of delivering responsible AI solutions that meet the evolving needs of our clients.

Qualifications
- Minimum of 5+ years of hands-on experience as a Data Engineer.
- Proven expertise with Microsoft Azure Fabric, Databricks, and Azure data services.
- Strong understanding of SQL and data modeling concepts.
- Experience in designing and implementing enterprise-grade data pipelines and data integration solutions.
- Proficiency in Python, Spark, or similar technologies is highly preferred.
- Hands-on experience working with cloud-based data platforms in production environments.

Responsibilities
- Design, develop, and maintain scalable and efficient data pipelines utilizing Microsoft Azure Fabric to support various business

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